Shengpu Tang
- Artificial Intelligence
- Epidemiology
- Health Informatics top 5%
- Public Health, Environmental and Occupational Health
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Jenna WiensMichael W. SjodingDanai KoutraBrahmajee K. NallamothuErkin ÖtleşBenjamin Y. LiJohn P. DonnellyKarandeep Singh
- Topics
- Sepsis Diagnosis and Treatment (3 papers)Artificial Intelligence in Healthcare (2 papers)Machine Learning in Healthcare (2 papers)
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
Shengpu Tang
10 papers receiving 226 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 83
- Epidemiology 60
- Health Informatics 42
- Public Health, Environmental and Occupational Health 41
- Radiology, Nuclear Medicine and Imaging 33
Countries citing papers authored by Shengpu Tang
This map shows the geographic impact of Shengpu Tang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shengpu Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengpu Tang more than expected).
Fields of papers citing papers by Shengpu Tang
This network shows the impact of papers produced by Shengpu Tang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shengpu Tang. The network helps show where Shengpu Tang may publish in the future.
Co-authorship network of co-authors of Shengpu Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Shengpu Tang. A scholar is included among the top collaborators of Shengpu Tang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shengpu Tang. Shengpu Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 38 | |
| 4 | 13 | |
| 5 | 17 | |
| 6 | 28 | |
| 7 | 74 | |
| 8 | 3 | |
| 9 | 53 | |
| 10 | Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series. | 1 |
About Shengpu Tang
Shengpu Tang is a scholar working on Health Information Management, Geriatrics and Gerontology and Critical Care and Intensive Care Medicine, having authored 10 papers that have together received 230 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (3 papers), Artificial Intelligence in Healthcare (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Health Informatics (42 citations), Health Information Management (32 citations) and Family Practice (6 citations). Shengpu Tang has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Jenna Wiens, Michael W. Sjoding, Danai Koutra, Brahmajee K. Nallamothu, Erkin Ötleş, Benjamin Y. Li, John P. Donnelly, Karandeep Singh, John Z. Ayanian and Thomas S. Valley. Their work appears in journals such as BMJ, Health Affairs and The American Journal of Surgery.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.